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2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)
T-Warehouse: Visual OLAP analysis on trajectory data
Long Beach, CA, USA
March 01-March 06
ISBN: 978-1-4244-5445-7
| ASCII Text | x | ||
| Luca Leonardi, Gerasimos Marketos, Elias Frentzos, Nikos Giatrakos, Salvatore Orlando, Nikos Pelekis, Alessandra Raffaeta, Alessandro Roncato, Claudio Silvestri, Yannis Theodoridis, "T-Warehouse: Visual OLAP analysis on trajectory data," Data Engineering, International Conference on, pp. 1141-1144, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDE.2010.5447749, author = {Luca Leonardi and Gerasimos Marketos and Elias Frentzos and Nikos Giatrakos and Salvatore Orlando and Nikos Pelekis and Alessandra Raffaeta and Alessandro Roncato and Claudio Silvestri and Yannis Theodoridis}, title = {T-Warehouse: Visual OLAP analysis on trajectory data}, journal ={Data Engineering, International Conference on}, volume = {0}, year = {2010}, isbn = {978-1-4244-5445-7}, pages = {1141-1144}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2010.5447749}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Data Engineering, International Conference on TI - T-Warehouse: Visual OLAP analysis on trajectory data SN - 978-1-4244-5445-7 SP1141 EP1144 A1 - Luca Leonardi, A1 - Gerasimos Marketos, A1 - Elias Frentzos, A1 - Nikos Giatrakos, A1 - Salvatore Orlando, A1 - Nikos Pelekis, A1 - Alessandra Raffaeta, A1 - Alessandro Roncato, A1 - Claudio Silvestri, A1 - Yannis Theodoridis, PY - 2010 VL - 0 JA - Data Engineering, International Conference on ER - | |||
Technological advances in sensing technologies and wireless telecommunication devices enable novel research fields related to the management of trajectory data. As it usually happens in the data management world, the challenge after storing the data is the implementation of appropriate analytics for extracting useful knowledge. However, traditional data warehousing systems and techniques were not designed for analyzing trajectory data. Thus, in this work, we demonstrate a framework that transforms the traditional data cube model into a trajectory warehouse. As a proof-of-concept, we implemented T-WAREHOUSE, a system that incorporates all the required steps for Visual Trajectory Data Warehousing, from trajectory reconstruction and ETL processing to Visual OLAP analysis on mobility data.
Citation:
Luca Leonardi, Gerasimos Marketos, Elias Frentzos, Nikos Giatrakos, Salvatore Orlando, Nikos Pelekis, Alessandra Raffaeta, Alessandro Roncato, Claudio Silvestri, Yannis Theodoridis, "T-Warehouse: Visual OLAP analysis on trajectory data," icde, pp.1141-1144, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 2010
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